Data Product Manager
Dyson
- Singapore
- Permanent
- Full-time
- Manage product delivery including managing resources, expectations, and risks; be responsible for ensuring user stories are delivered against business priorities.
- Lead the end-to-end product development lifecycle, from ideation to launch. Working closely with engineering and data science teams to operationalize machine learning models into products.
- Develop and articulate a clear product vision and strategy for AI products. Define user stories and acceptance criteria from business opportunities into product features.
- Define key performance indicators (KPIs) for AI products and analyse product metrics to iterate and enhance AI capabilities.
- Actively measure business value to support justifications on current and future product investment.
- Achieve collaboration with stakeholders to encourage transparency and alignment of business priorities, dependencies, and constraints.
- Instill continuous improvement and change behaviour mindsets using Lean and Design Thinking practices, drawing on other resources where appropriate.
- Stay abreast of industry trends, market dynamics, and emerging technologies to inform product decisions.
- Flexible in thinking and result oriented!
- 7+ years of experience in product planning and product design in AI products, data analytics, or business intelligence
- Must have experience working with AI technologies including machine learning, natural language processing, and computer vision
- Hands on experience with advanced Python and ETL tools for data transformation and analysis
- Familiar with process improvement practices and business process management
- Experience in managing backlog, developing user stories, and estimating story points
- Experience in developing business cases and managing investment budgets with ability to drive new value proposition and influence business to embrace new innovations
- Proven track record securing investments from senior executives through product pitching
- Demonstrated ability to build trust and engage at C-levels
- Ability to think strategically but also dive deep into details and drive execution
- Demonstrated leadership working in cross-functional technical teams (direct/virtual)
- Strong technical and business acumen to draw insights and make product trade-off
- Experience working in an Agile, SCRUM or Lean Start-up environment
- MBA or PhD preferred